Replication Material for "Private Participation: How Populists Engage with International Organizations"

## 1 Information

Authors: Allison Carnegie, Richard Clark, and Ayse Kaya
Date: June 23, 2023
Contact email: richard.clark@cornell.edu

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# 2 File overview

## 2.1 Data files

text_data_for_analysis.csv - dataset with complete text from all Grays 1987-2017 for sentiment and text analysis

unimputed_data_for_analysis.csv - complete dataset for Grays empirical tests with no imputation

imputed_data_for_analysis.csv - complete dataset for Grays empirical tests with multiple imputation

imputed_data_for_program_analysis - complete dataset for IMF program empirical tests with multiple imputation

## 2.2 .R files

script_all.R - contains all code needed to build datasets from source data and replicate analyses

## 2.3 R Version 

All data analyses in this article were carried out using RStudio 2021.09.1+372 "Ghost Orchid" for Mac and R version 4.1.2 for Mac

## 2.4 Codebook

We include four codebooks corresponding to the four data files above, all in PDF form.

CB_text_data_for_analysis.csv - dataset with complete text from all Grays 1987-2017 for sentiment and text analysis

CB_unimputed_data_for_analysis.csv - complete dataset for Grays empirical tests with no imputation

CB_imputed_data_for_analysis.csv - complete dataset for Grays empirical tests with multiple imputation

CB_imputed_data_for_program_analysis - complete dataset for IMF program empirical tests with multiple imputation

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# 3 Data source files. Note that observations are uniquely linked to their source datasets by country-year in our final datasets. Full references for the author-date cites listed below can be found in the paper and codebook references sections. We are not violating any terms of use or licenses by distributing these data.

basicvotes.csv - data on basic votes in the IMF computed as follows. Voting power in the IMF is based on a quota system. Each member has a number of basic votes. Each member's number of basic votes equals 5.502% of the total votes. Total votes are equal to basic votes + quota share votes (1 per 100,000 SDR in quota). Systematic vote data are not available per the IMF, so I created the variable based on this formula  for 2008-2016. Before 2008, each country just got 250 basic votes plus 1 per 100,000 SDR in quota, so I use that formula for the pre-2008 period.

cleantext.csv - clean text for each Gray 1987-2017, cleaning code is in script_all.R

constitutency.csv - hand-coded data on constituency membership for all IMF members post-1974

DPI2015.csv - data on political ideology from the Database of Political Institutions downloaded in November 2018

Dyadic_COW_4.0 - dyadic trade data from COW

Dyadicdata.RData - dyadic UN voting data from Bailey, Strezhnev and Voeten (2017)

funke_data - data on populist executive leadership from Funke et al. (2022) hand-coded based on the tables appearing in their paper

gdp.csv - data on IMF members' GDP from the World Development Indicators downloaded in April 2019 to compute the power-asymmetry measure

IMF_cond.csv - the text of all IMF conditions from the Kentikelenis et al. (2016) data

IMF_executive_directors - data on the Executive Directors representing every country or constituency in our data, hand-coded from IMF online resources

imf_membership.csv - hand-coded data on countries' membership status in the IMF and in regional financing arrangements from Clark (2022)

imfreformfull.csv - temporary dataset created in the process of building imputed_data_for_analysis.csv, see code in script_all.R

imfreformsub.csv - temporary dataset created in the process of building unimputed_data_for_analysis.csv, see code in script_all.R

OECDaid.csv - dyadic data on country's receipt of development assistance from various donors from the OECD downloaded in December 2019

powerasymm.csv - data on vote-power asymmetry at the IMF created following Pratt (2021)

p4v2017.csv - 2017 version of the polity dataset restricted to only polity2 scores

quota.csv, quota2.csv, quota3.csv - data on IMF quotas downloaded from Fund website in 2018-2019, appears in separate files because of download limits 

RFA_ctry.csv - hand-coded data on country membership in and contributions from regional financing arrangements; coding is discussed in Appendix 3

unsc.csv - data on non-permanent United Nations Security Council membership; it was originally downloaded from Dreher, Sturm and Vreeland's (2009) replication materials, but I hand-code based on online resources to bring it up-to-date

WDI11.7.19.csv - economic covariates accessed from the World Development Indicators in November 2019

WDI11.2.21.csv - economic covariates accessed from the World Development Indicators in November 2021


# 3.1 Interview data

The interview process is described in Appendix 5. All quotations that appear in the paper were transcribed immediately after the conclusion of the interview.

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## 4 List of required Packages

Note: All packages are available from CRAN as of 6/23/23. 

{foreign, ggplot2, plm, reshape2, countrycode, sandwich, lmtest, MASS, devtools, etwfe, rworldmap, RColorBrewer, states, mice, VIM, stargazer, margins, clusterSEs, lme4, optimx, coefplot, lattice, survey, dplyr, wordcloud, survey, sampleSelection, quanteda, Matrix, ldatuning, topicmodels, readtext, stm, lda, bursts, tidytext, PanelMatch, tm, readstata13, fastDummies, panelView, igraph, NetMix, dnr, network, sna, bacondecomp, pdftools, stringr, hunspell, wordcloud2, forcats, tidyverse, tidytext, stringr, scales, textreuse, text2vec, ggrepel, webshot, htmlwidgets, lfe, VGAM, AER, fixest, caTools, textdata, arm, haven}
